Senior Software Engineer Scale & Data Infra Leader

Requirements

• Master’s degree in Computer Science, Software Engineering, or a closely related field or foreign equivalent
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• 2 years (24 months) of experience with each of the following:
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• Building scalable, fault-tolerant, and high-performance distributed systems; infrastructure automation and optimization
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• Advanced data structures, indexing, partitioning, replication, horizontal scaling, and fault tolerance
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• Translating business needs into technical solutions, mentoring engineering teams, and fostering technical excellence
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• Implementing logging, monitoring, tracing, audit trails, and data compliance processes
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• Tools and technologies: Docker, Terraform, Apache Spark, Hadoop, PostgreSQL/PostGIS, Redis, Prometheus, Grafana, Git, AWS Lambda, AWS ECS, AWS Fargate, AWS EC2, AWS EMR, AWS Glue, AWS S3, and Node.js
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• Programming languages: Rust, Python, SQL/NoSQL, JavaScript, and TypeScript
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• Experience may be gained concurrently and may have been gained pre-, during, or post-master's degree

What the job involves

• Architecting, building and developing large-scale infrastructure, distribute systems and networks; training other teams on these systems
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• Researching and developing new technologies in large scale decentralized computer and web3 systems; integrating with core systems
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• Applying expertise with data structures or algorithms in an academic setting to create core abstractions for 100s of thousands of users and 100s of millions of square miles of data
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• Working closely with operations, product development, and other engineering teams to deliver data-intensive cross-functional platform solutions
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• Building auditable and observable systems that can robustly handle billions of video frames each day
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• Helping to foster engineering excellence across backend development